Triple
T6416622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elmer Bernstein |
E127845
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bernstein |
E129138
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bernstein | Statement: [Elmer Bernstein, familyName, Bernstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bernstein Context triple: [Elmer Bernstein, familyName, Bernstein]
-
A.
Bernstein
chosen
Bernstein is a common Ashkenazi Jewish surname borne by numerous notable figures in fields such as journalism, music, mathematics, and the arts.
-
B.
Strauss
Strauss is a common German surname borne by numerous notable figures in fields such as music, politics, and literature.
-
C.
Julius Bernstein
Julius Bernstein was a German physiologist best known for his pioneering work on the biophysics of nerve and muscle, including the development of the membrane theory of bioelectric potentials.
-
D.
Steven Bernstein
Steven Bernstein is a cinematographer and film director known for his work on feature films such as the comedy "White Chicks."
-
E.
Schönberg
Schönberg is a village in the municipality of St. Vith in the German-speaking region of eastern Belgium.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c0083815208190a9b299b8e0640218 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068ea06b08190901e0c0a18fd5170 |
completed | March 22, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640ce3f9481908fa96fb5b2bc8db9 |
completed | March 27, 2026, 8:33 a.m. |
Created at: March 22, 2026, 4:42 p.m.